© 2014 PerkinElmer

HUMAN HEALTH • ENVIRONMENTAL HEALTH

Interactive Visualisation for Precision and Translational Medicine Dr. Christof Gaenzler

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Introduction

•  Precision and Translational medicine change healthcare

•  Visual Interactive Analytics should drive decision-making

•  Customers need more complete solutions

•  Too much effort is invested in Data Collection and Curation

•  A shift towards higher value activities is needed

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Shift Effort Towards the Higher Value Activities

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Shift Effort Towards the Higher Value Activities

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Shift Effort Towards the Higher Value Activities

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Visual Information Seeking

•  Visual browsing & interacting with data •  Graphical interactive display of data •  drill-down, drill-across, filtering

•  Important in Translational Science •  Disparate datasources not designed to fit together

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Translational Medicine Workflows

Raw Data

Select Processed Data

QA/QC Results

Review Secondary Analysis Select Clinical

Subject & Samples

Secondary Analysis

Data Processing

Select Secondary Results

Perform Integrated

Analysis

Bioinformatician/ Data Scientist Focuses on single

experiment and starts with instrument run

Translational Scientist Start with scientific hypothesis and use scientific Entities

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Spotfire as „Query Tool“ for Selection steps

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How does it all fit together?

Signals for Translational Combines technologies into a single solution for the translational scientist Public Data Source Connectors Leverage existing data sources with the power of the platform Signals Perspectives Adds data discovery for disparate data sets

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PerkinElmer Signals Embedded in TIBCO™ Spotfire®

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Visual Metadata Exploration…

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…and Data Filtering

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Real World Evidence across the Pharma Value Chain

•  R&D ◦  Translational, Trial Simulation & Recruitment

•  Medical & Safety

◦  AE / Signal Detection, Risk Management

•  HEOR ◦  Local Burden of disease and cost

•  Market Access

◦  Speed to market, outcomes-based pricing

•  Commercial ◦  Patient flow, Launch planning

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RWE Use Case Specific Analysis

Kaplan-Meier Plot - also known as the product limit/

survival estimator

Forest Plot of hazard ratios by cohort

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IHC

Multiplex ELISA

NGS

GEA

CNV and Translocations

Cohort Studies - Data Mashup: Combining Clinical and Biomarker Data

Patient Population Stratified Patient Population

Quantitative Pathology

Getting the right drug to the right patient at the right time

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IHC

Multiplex ELISA

NGS

GEA

CNV and Translocations

Translational Medicine will become Personalized Medicine

Quantitative Pathology

Getting the right drug to the right patient at the right time

? Precise diagnosis

Targeted Therapy

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Features of Desired Analytical Ecosystem

•  Open and Collaborative ◦  Within and between Business units ◦  Also with Vendors

•  Comprehensive ◦  Deep set of “out of the box” capabilities ◦  From data to insight

•  Flexible ◦  Exists as part of current architecture without disruption

•  Grows and changes over time!

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